Job Description
Are you ready to define the trajectory of Artificial Intelligence? Nexus Horizon Labs is seeking exceptional candidates for our exclusive 2026 Engineering Cohort. We are not just looking for interns; we are looking for the architects of tomorrow. In this role, you will work directly with our Principal Engineers to deploy cutting-edge machine learning models that will power the next generation of autonomous systems.
Why Join Us?
- Work on Next-Gen AI infrastructure.
- Competitive compensation and equity package.
- Immersion in a high-growth, fast-paced Silicon Valley environment.
- Mentorship from industry veterans.
At Nexus Horizon Labs, we believe that 2026 is the year the impossible becomes standard. If you are passionate about Deep Learning, Natural Language Processing, or Computer Vision, we want to hear from you.
Responsibilities
- Model Development: Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch.
- Data Pipeline Management: Build robust data pipelines to handle large-scale datasets and ensure data quality for training.
- Research Implementation: Translate academic research papers into production-ready code and deployable solutions.
- Collaboration: Partner with cross-functional teams of data scientists and software engineers to integrate AI models into core products.
- Performance Tuning: Continuously monitor, evaluate, and improve model accuracy and efficiency in real-world scenarios.
Qualifications
- Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- Technical Skills: Proficiency in Python and experience with at least one deep learning framework (TensorFlow, PyTorch, Keras).
- Mathematical Foundation: Strong understanding of linear algebra, calculus, and statistics.
- Programming: Experience with SQL and distributed computing tools (e.g., Spark, Hadoop).
- Problem Solving: Demonstrated ability to tackle complex technical problems with creative solutions.
- Communication: Excellent verbal and written communication skills to articulate technical concepts to diverse audiences.